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Senior Applied Data Scientist

Role overview

Qualifications

  • 2+ years full time working experience in signal processing, data science, or machine learning roles
  • Extremely strong communication skills, both verbally and in writing
  • Strong familiarity with Python coding, utilizing industry standard libraries
  • BS/ MS / PhD in Data Science, Engineering, Computer Science or a related field

Responsibilities

  • Contribute to a shared codebase, using GitHub and other modern collaboration tools
  • Perform the technical elements of a variety of product development and data analysis projects
  • Participate in the internal peer review process, including design reviews, code reviews, and data analysis reviews
  • Design, manage, and analyze controlled experiments within our production systems

About the company

3Play Media logo

3Play Media

Digital Accessibility Services

3Play Media provides captioning, transcription, audio description, and translation services, as well as interactive transcripts and video search tools. We work with customers in higher education, entertainment, government, enterprise, and media. The company was founded in 2008 by four MIT graduate students and is headquartered in Boston, MA. For more information, visit www.3playmedia.com.

Company details

IndustryDigital Accessibility Services
Company size51 - 200

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Job description

The Role

We are looking to grow our core Applied Science team by adding a “Senior  Applied Data Scientist”.  This is an individual contributor role on a highly collaborative team.  The Applied Science team is a self-sufficient, product development team that applies research and experimentation to fulfill its goals of developing and maintaining business-critical software systems.  In short, you’ll be a full-stack applied data scientist and software developer.  3Play Media has diverse business and technical challenges related to media transcription, captioning, audio description, dubbing, subtitling, and translation. This team makes major contributions in many technical domains, including software engineering, systems engineering, machine learning, natural language processing, generative AI, signal processing, applied probability and statistics, data analysis, and controlled experimentation.  You’ll be expected to contribute to and learn about several of these domains.

We are looking for a curious, communicative, collaborative, humble, self-sufficient, and flexible data scientist. The ideal candidate is energized by the craft of building efficient, reliable software systems alongside sensible, robust machine learning and AI models. You’ll approach engineering and data science as disciplines that are always evolving, and you actively seek out and weigh new approaches rather than settling into the familiar. Above all, you understand that this work is a team sport: you know that strong collaboration, durable relationships, and genuinely diverse perspectives aren't nice-to-haves but the foundation of doing it well.

What You'll Do

  • Contribute to a shared codebase, using GitHub and other modern collaboration tools, such as agentic coding systems
  • Perform the technical elements of a variety of product development and data analysis projects (prototyping, evaluation, productionization, and maintenance), especially related to audio and video processing, generative AI, predictive modeling, and NLP
  • Participate in the internal peer review process, including design reviews, code reviews, and data analysis reviews
  • Design, manage, and analyze controlled experiments within our production systems
  • Regularly report on progress, results, findings, risks, and opportunities

Who You Are

Must-haves

  • 2+ years full time working experience in signal processing, data science, or machine learning roles, including predictive modeling, data processing, and data analysis responsibilities
  • Extremely strong communication skills, both verbally and in writing
  • Strong familiarity with Python coding, utilizing industry standard libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn)
  • Interest in presenting technical and business-oriented information to a variety of audiences, including senior management and customers
  • BS/ MS / PhD in Data Science, Engineering, Computer Science or a related field

Nice-to-haves

  • Strong academic and professional experience with audio signal processing, speech synthesis, and computer vision
  • Experience writing, deploying, and maintaining Python and SQL code in a production setting
  • Experience building and maintaining production machine learning systems in a cloud-based platform, such as AWS SageMaker
  • Experience developing and maintaining custom deep learning models using pytorch and HuggingFace, especially models involving text, audio, and video data
  • Experience using third-party generative AI systems, including prompt engineering and fine-tuning
  • Experience in the accessibility and localization industries

⚡ AI at 3Play

3Play is building AI into how we work across every function. We don't expect expertise — we expect curiosity. If you've used AI tools to work smarter, automated something that used to be manual, or found a better way to do your job with technology, that mindset belongs here.

Compensation & Location

Base salary range: $150k - $180k

Location: Remote — United States

Employment type: Full-time

About 3Play Media

3Play Media is a technology company making video accessible to everyone. Our captioning, transcription, audio description, and localization solutions serve over 10,000 customers — universities, media companies, enterprises, and government organisations across the US and Canada.

We were founded at MIT Sloan in 2007 and have been building deliberately ever since. The team is small, fast-moving, and low on politics. The work you do here is visible from day one. Headquarters in Boston, MA with offices in Minneapolis, MN and Calgary, AB.

 

3Play Media is an equal opportunity employer. We are committed to building a diverse and inclusive team and encourage applications from candidates of all backgrounds.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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